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5 часов назад

AI & Machine Learning Specialist (Digital Health)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Uganda
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI & Machine Learning Specialist (Digital Health): Developing and validating a national AI implementation framework and priority AI use cases for interoperable digital health systems with an accent on responsible AI, data governance, model evaluation, and privacy. Focus on designing anomaly detection and acoustic screening models, integrating secure data pipelines, monitoring performance and bias, and building the capacity of Ugandan technical teams.

Location: Kampala, Uganda, with national and regional travel as required. Candidates must have current work authorization in Uganda; visa sponsorship is not available.

Company

hirify.global is a global consulting and implementation company delivering technology-enabled solutions for governments, businesses, investors, and communities across more than 50 countries.

What you will do

  • Support the Ministry of Health in developing an AI implementation framework covering use-case intake, risk classification, data governance, validation, approvals, monitoring, and escalation.
  • Design, develop, validate, and document approved AI use cases, including DHIS2 data-entry anomaly detection and acoustic screening for respiratory disease.
  • Collaborate with data engineering, interoperability, cybersecurity, clinical, and program teams on approved data sources, secure environments, and documented pipelines.
  • Establish procedures for model development, testing, evaluation, bias assessment, performance monitoring, versioning, and retraining.
  • Support human oversight, privacy protection, auditability, user testing, workflow integration, training, and post-deployment monitoring.
  • Document technical methods and model limitations while building responsible AI capabilities within MOH and Ugandan technical teams.

Requirements

  • Master’s degree in data science, computer science, artificial intelligence, statistics, biomedical engineering, health informatics, or a related field.
  • At least 5 years of experience in machine learning, data science, predictive analytics, or AI product development.
  • Skills in Python, machine learning frameworks, model evaluation, data engineering, and data visualization.
  • Knowledge of responsible AI, privacy, bias assessment, human-centered design, and model monitoring.
  • Strong technical documentation, stakeholder engagement, and English communication skills.
  • Experience in health, public health, or low-resource settings is strongly preferred.

Culture & Benefits

  • Work with the Ministry of Health and Ugandan institutions on government-owned digital health systems.
  • Contribute to a project focused on responsible AI, health data governance, cybersecurity, and interoperable digital health infrastructure.
  • Support progressive transfer of technical capability to government and national technical teams.
  • Applications are reviewed on a rolling basis and the position may close once a suitable candidate is found.

Hiring process

  • Only shortlisted candidates will be contacted.
  • Successful candidates will complete safeguarding-focused interviews and enhanced due diligence.

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